nnaisense / bayesian-flow-networks
This is the official code release for Bayesian Flow Networks.
☆255Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for bayesian-flow-networks
- Annotated Flow Matching paper☆135Updated 2 months ago
- A simple implimentation of Bayesian Flow Networks (BFN)☆239Updated 10 months ago
- Educational implementation of the Discrete Flow Matching paper☆55Updated 2 months ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆146Updated 2 years ago
- A summary of related works about flow matching, stochastic interpolants☆337Updated 3 months ago
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆404Updated 8 months ago
- ☆104Updated 9 months ago
- A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).☆23Updated 11 months ago
- code for "Riemannian Flow Matching on General Geometries".☆177Updated 8 months ago
- Simplified Masked Diffusion Language Model☆207Updated last week
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆52Updated 2 months ago
- ☆299Updated 2 years ago
- A curated list for awesome discrete diffusion models resources.☆67Updated last week
- Code for the paper https://arxiv.org/abs/2205.14987v2☆43Updated 7 months ago
- ☆206Updated last year
- Implementation of rectified flow and some of its followup research / improvements in Pytorch☆191Updated 2 weeks ago
- Official PyTorch implementation of the paper: Flow Matching in Latent Space☆208Updated 3 weeks ago
- Score-based generative models for compact manifolds☆103Updated 10 months ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆120Updated last year
- Neural Diffusion Processes☆73Updated 3 months ago
- A modular, easy to extend GFlowNet library☆233Updated this week
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆120Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆134Updated 2 years ago
- A mini-library for training consistency models.☆215Updated 10 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆41Updated 9 months ago
- Flow-matching algorithms in JAX☆77Updated 3 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆76Updated 2 years ago
- Generative Flow Networks - GFlowNet☆190Updated 2 weeks ago
- PyTorch implementation of Variational Diffusion Models.☆77Updated 6 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆123Updated 11 months ago